MSKCC Center for Translational Cancer Genomic Analysis

MSKCC 转化癌症基因组分析中心

• 批准号: 7942765
• 负责人: Marc Ladanyi
• 金额: $ 161.76万
• 依托单位: SLOAN-KETTERING INST CAN RESEARCH
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-28 至 2014-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7942765
• 关键词: Atlases; Communities; Comprehensive Cancer Center; Computational Biology; Data; Data Analyses; Diagnosis; Genome; Genomics; Internet; Malignant Neoplasms; Memorial Sloan-Kettering Cancer Center; Methods; Molecular; Pathway Analysis; Phase; Software Tools; Translational Research; Translations; Work; base; cancer Biomedical Informatics Grid; cancer genome; cancer genomics; clinical application; genome sequencing; improved; insight; interoperability; meetings; method development; novel; prevent; programs; software development; working group

DESCRIPTION (provided by applicant): The MSKCC Center for Translational Cancer Genomic Analysis, a Genome Data Analysis Center type B (GDAC-B), aims to develop novel integrative analysis methods for studying cancer genomic data, thereby enabling the translation of genomic insights into new clinical applications. The planned novel translational genomics analyses are presented in four specific aims organized around four themes: Subtype discovery. Pathway analysis, Therapy nomination, and Software development. These methods will be critical to helping the Cancer Genome Atlas (TCGA) project meet its stated objective of accelerating our understanding of the molecular basis of cancer, and improving our ability to diagnose, treat, and prevent cancer. The analysis work and method development will be closely coordinated with the GDACs working group (GDAC-WG), software tools will be fully integrated with the TCGA analytic pipelines and results of analyses will be made freely available to the scientific community via TCGA internet portals, with well-established plans for caBIG interoperability. The work of this GDAC-B will build on the flow of data from Genome Characterization Centers and Genome Sequencing Centers, as integrated by the GDAC-A data analysis centers. The applicant group of the MSKCC Center for Translational Cancer Genomic Analysis has a strong track record in large scale collaborative cancer genomics within the TCGA pilot phase and other consortia, and benefits from a computational biology program that is uniquely embedded in a comprehensive cancer center with a major focus on basic and translational research.

描述（由申请人提供）：MSKCC转化癌基因组分析中心，基因组数据分析中心B型（GDAC-B），旨在开发用于研究癌症基因组数据的新型综合分析方法，从而使基因组洞察力转化为新的临床应用。计划的新型翻译基因组学分析以四个主题组织的四个特定目的进行了介绍：亚型发现。途径分析，治疗提名和软件开发。这些方法对于帮助癌症基因组图集（TCGA）项目符合其既定目标，即加速我们对癌症分子基础的理解，并提高我们诊断，治疗和预防癌症的能力至关重要。分析工作和方法开发将与GDACS工作组（GDAC-WG）密切协调，软件工具将与TCGA分析管道完全集成，分析结果将通过TCGA Internet Portals免费提供给科学社区，并具有良好的CABIG互操作性计划。该GDAC-B的工作将基于基因组表征中心和基因组测序中心的数据流，该中心由GDAC-A数据分析中心集成。 MSKCC转化癌基因组分析中心的申请人组在TCGA初步阶段和其他财团内具有大规模协作癌症基因组学的良好记录，并从一项计算生物学计划中受益，该计划在综合癌症中心中独特地嵌入了对基本和转化研究的重点。